A New Theoretical Perspective on Data Heterogeneity in Federated Averaging
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2024
- ICML 2024
Publications
1576 results for Machine Learning
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
- Tobia Boschi
- Francesca Bonin
- et al.
- 2024
- ICML 2024
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
- Asterios Tsiourvas
- Wei Sun
- et al.
- 2024
- ICML 2024
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
- Teng Xiao
- Huaisheng Zhu
- et al.
- 2024
- ICML 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- Kai Xu
- Hong Ge
- 2024
- ICML 2024
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information
- Juntao Chen
- Yingdong Lu
- 2024
- ISMP 2024
Generation constraint scaling can mitigate hallucination
- Georgios Kollias
- Payel Das
- et al.
- 2024
- ICML 2024
Needle in the Haystack for Memory Based Large Language Models
- Payel Das
- Soham Dan
- et al.
- 2024
- ICML 2024
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation
- Tomas Bueno Momcilovic
- Beat Buesser
- et al.
- 2024
- xAI 2024